Abstract
As already mentioned in Chap.1, the use of biologically inspired CI techniques play a crucial role for the hybridisation at any level of HIS features and performances. Two emerging and promising biologically inspired techniques seem to be the impulse of the moment in the field of HIS, namely: Artificial Immune Systems (AIS)) and DNA computing. The computing framework featuring each of theses two above-mentioned techniques was enlarged by original and efficient hybridisation methods. A lot of interesting real-world applications are reliant on AIS and/or DNA techniques despite the fact that these methods are still at their incipient stage. Their applications cover such different areas as bioinformatics, biological engineering and biologically motivated computing. The interdisciplinary development approach of AIS and DNA reliant hybridisation algorithms, techniques and application was created by the collective effort of a large spectrum of high technology practitioners; mainly the computer scientists, engineers acting in different technical fields, biologists and natural environment specialists.
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Negoita, M., Neagu, D., Palade, V. New Trends of Developing Hybrid Intelligent Systems – AIS Hybridization and DNA-Hybridization. In: Computational Intelligence. Studies in Fuzziness and Soft Computing, vol 174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32369-3_7
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DOI: https://doi.org/10.1007/978-3-540-32369-3_7
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-32369-3
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